Uveitis accounts for as much acquired visual loss as diabetes or macular degeneration. Although many entities cause uveitis, the most frequent diagnosis is ?idiopathic?, a description that frustrates patients and physicians. We have shown that some systemic diseases associated with uveitis demonstrate distinct gene expression profiles that can be identified in blood. We propose to characterize the gene expression profile for 4 important causes of uveitis: sarcoidosis, ankylosing spondylitis, inflammatory bowel disease, and tubulointerstitial nephritis with uveitis. Our study will determine if the profiles for each disease have adequate sensitivity and specificity to become diagnostic tools. We will test the hypothesis that many diseases that cause uveitis share expression of common RNA transcripts. We will segregate subjects with idiopathic uveitis on the basis of gene expression and validate this classification by determining if the clinical phenotype of the uveitis fits with the gene expression profile. By studying subjects longitudinally over the course of the proposal, we will distinguish transcripts that are indicative of the disease phenotype in contrast to transcripts that are indicative of the disease activity. The proposed studies represent a potential paradigm shift in the approach to uveitis and a prime example of the application of precision medicine to a clinical conundrum.

Public Health Relevance

Uveitis is inflammation inside the eye and is a leading cause of blindness. Dozens of diseases cause uveitis but the most common diagnosis is ?idiopathic?, which is a catch-all term for any disease that does not fit into a more specific category. Gene expression profiling from blood is an emerging technology that we believe could allow a more precise diagnosis for many patients with idiopathic uveitis.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY026572-02
Application #
9563982
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Mckie, George Ann
Project Start
2017-09-30
Project End
2020-08-31
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
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Yang, Sungjae; Kopplin, Laura J; Rosenbaum, James T (2018) Retinal vasculitis associated with CREST syndrome. Am J Ophthalmol Case Rep 10:185-188